class_docstr: Standardizes the series by subtracting mean and diving by standard deviation.
code: def inverse_transform(self, df: pd.DataFrame) -> pd.DataFrame:
      df = df.merge(self.stats_, on=self.id_col)
      for col in df.columns.drop(
          [self.id_col, self.time_col, "_mean", "_scale"]
      ):
          df[col] = df[col] * df["_scale"] + df["_mean"]
      df = df.drop(columns=["_mean", "_scale"])
      return df
  
file_path: autogluon/timeseries/src/autogluon/timeseries/models/autogluon_tabular/utils.py
imports: import numpy
  import pandas
  from mlforecast.target_transforms import BaseTargetTransform
label_desc: Use image node_id 2 for calling the StandardScaler obj's underlying member method code with example usage: obj.inverse_transform(df) and returns: df